Abstract
This chapter introduces a series of case studies that use linear and nonlinear regression techniques. Allometric scaling and dose proportionality are examined using simple linear regression techniques. Limited sampling and development of a dosing formula for carboplatin are developed using multiple linear regression. The pharmacokinetics of cocaine after intravenous, nasal, and inhalation are studied within the context of a compartmental model using nonlinear weighted least squares, as are the pharmacokinetics of a new chemical entity.
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Recommended Reading
Chappell WR, Mordenti J. Extrapolation of toxicological and pharmacological data from animals to humans. In: Testa B, editor. Advances in Drug Research. New York: Academic Press, 1990, pp. 1-116.
Gough K, Hutcheson M, Keene O, Byrom B, Ellis S, Lacey L et al. Assessment of dose proportionality: report from the Statisticians in the Pharmaceutical Industry/Pharmacokinetics UK Joint Working Party. Drug Information Journal 1995; 29: 1039-1048.
Smith BP, Vandenhende FR, DeSante KA, Farid NA, Welch PA, Callaghan JT et al. Confidence interval criteria for assessment of dose proportionality. Pharmaceutical Research 2000; 20: 1278-1283.
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Bonate, P.L. (2011). Case Studies in Linear and Nonlinear Modeling. In: Pharmacokinetic-Pharmacodynamic Modeling and Simulation. Springer, Boston, MA. https://doi.org/10.1007/978-1-4419-9485-1_5
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DOI: https://doi.org/10.1007/978-1-4419-9485-1_5
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